Sienna Senior Pink Sheet Forecast - Polynomial Regression

LWSCF Stock  USD 12.05  0.05  0.41%   
The Polynomial Regression forecasted value of Sienna Senior Living on the next trading day is expected to be 12.10 with a mean absolute deviation of 0.20 and the sum of the absolute errors of 12.06. Sienna Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Sienna Senior's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Sienna Senior polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Sienna Senior Living as well as the accuracy indicators are determined from the period prices.

Sienna Senior Polynomial Regression Price Forecast For the 1st of December

Given 90 days horizon, the Polynomial Regression forecasted value of Sienna Senior Living on the next trading day is expected to be 12.10 with a mean absolute deviation of 0.20, mean absolute percentage error of 0.06, and the sum of the absolute errors of 12.06.
Please note that although there have been many attempts to predict Sienna Pink Sheet prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Sienna Senior's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sienna Senior Pink Sheet Forecast Pattern

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Sienna Senior Forecasted Value

In the context of forecasting Sienna Senior's Pink Sheet value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Sienna Senior's downside and upside margins for the forecasting period are 10.88 and 13.32, respectively. We have considered Sienna Senior's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
12.05
12.10
Expected Value
13.32
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Sienna Senior pink sheet data series using in forecasting. Note that when a statistical model is used to represent Sienna Senior pink sheet, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria115.3024
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1976
MAPEMean absolute percentage error0.0163
SAESum of the absolute errors12.0551
A single variable polynomial regression model attempts to put a curve through the Sienna Senior historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Sienna Senior

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sienna Senior Living. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Sienna Senior's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
10.8312.0513.27
Details
Intrinsic
Valuation
LowRealHigh
10.7411.9613.18
Details

Other Forecasting Options for Sienna Senior

For every potential investor in Sienna, whether a beginner or expert, Sienna Senior's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Sienna Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Sienna. Basic forecasting techniques help filter out the noise by identifying Sienna Senior's price trends.

Sienna Senior Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Sienna Senior pink sheet to make a market-neutral strategy. Peer analysis of Sienna Senior could also be used in its relative valuation, which is a method of valuing Sienna Senior by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Sienna Senior Living Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Sienna Senior's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Sienna Senior's current price.

Sienna Senior Market Strength Events

Market strength indicators help investors to evaluate how Sienna Senior pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Sienna Senior shares will generate the highest return on investment. By undertsting and applying Sienna Senior pink sheet market strength indicators, traders can identify Sienna Senior Living entry and exit signals to maximize returns.

Sienna Senior Risk Indicators

The analysis of Sienna Senior's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Sienna Senior's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sienna pink sheet prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

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Other Information on Investing in Sienna Pink Sheet

Sienna Senior financial ratios help investors to determine whether Sienna Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Sienna with respect to the benefits of owning Sienna Senior security.